Transportation planning method and device based on road freight

By matching multi-dimensional parameters and optimizing real-time data, the problems of uncontrollable transportation costs and unpredictable risks in road freight transportation have been solved, enabling dynamic adjustment of transportation planning and resource optimization, thereby improving transportation efficiency and the risk resistance of enterprises.

CN122155577APending Publication Date: 2026-06-05小铁马科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
小铁马科技有限公司
Filing Date
2026-05-07
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Current road freight transportation suffers from the lag, passivity, and uncontrollability of transportation costs, and freight planning often adopts a single-dimensional static pricing model, resulting in frequent breakdowns, low efficiency, and waste of resources.

Method used

By matching multi-dimensional parameters and integrating a comprehensive business database, the system automatically determines the optimal fare rules and dynamically recalculates based on real-time road conditions, vehicle energy consumption, and environmental risk data to optimize transportation planning and achieve controllable costs and predictable risks.

Benefits of technology

This has enabled controllable transportation costs and predictable risks, improved transportation efficiency and resource utilization, reduced incremental costs, and enhanced the company's ability to withstand risks.

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Abstract

Embodiments of the present application disclose a transportation planning method and device based on road freight. The method comprises: performing multi-dimensional parameter matching of a business attribute of a target order and each selectable rate rule to obtain a rule set; when there are at least two mutually conflicting candidate rate rules in the rule set, determining the priority of the mutually conflicting candidate rate rules according to a judgment factor to obtain an optimal rate rule with the highest priority; determining the freight amount of the target order, a target vehicle executing the target order, a target driver, and transportation information based on the optimal rate rule; writing the freight amount into the target order or a settlement document, and sending the transportation information to a target device; during the freight process, if a preset dynamic recalculation trigger condition is met, recalculating the freight amount of the remaining transportation mileage to obtain an incremental fee; taking the achievement of the freight target of the target order under the condition of minimizing the incremental fee as an optimization target, and updating and optimizing the transportation planning.
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